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布谷鸟算法的含分布式电源配电网最优潮流优化

         

摘要

Since the method such as the simulated annealing algorithm can′t meet the power grid optimal power flow design of the multi-constraint variables,a cuckoo algorithm based optimal power flow optimization model of the power distribution net-work with distributed power supply is proposed. The objective function of the optimal power flow of the power supply distribution network was constructed in the model of multi-objective nonlinear constraint parameter. The consumption and total power distri-bution cost of the unit are taken as the optimization objects,and performed with optimal solution multipoint search with the cuckoo algorithm. The birds foraging process and migratory behavior are simulated to get the global optimal solution. The certainty plan-ning was carried out for the system according to its active power loss to solve the optimal power flow of the power distribution net-work with distributed power supply. The simulation results show that the method used to perform the optimal power flow optimiza-tion design of the power distribution network with distributed power supply can improve the utilization rate of the power supply effectively,reduce the operation cost of the system,and ensure the safe and economic operation of the power distribution net-work with distributed power supply.%针对当前模拟退火方法等算法不能满足多约束变量的电网最优潮流设计问题,提出基于布谷鸟算法的含分布式电源配电网最优潮流优化模型.在多目标非线性约束参量模型下构建电源配电网最优潮流目标函数,以机组的耗量和配电总费用为优化目标,采用布谷鸟算法进行最优解多点搜索,模拟鸟群觅食过程和迁徙行为进行全局优化求解,考虑系统的有功损耗进行确定性规划处理,实现含分布式电源配电网的最优潮流求解.仿真结果表明,采用该方法进行含分布式电源配电网最优潮流优化设计有效提高了电源的利用率,降低了系统的运行成本,确保了含分布式电源配电网的经济、安全运行.

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